Machine Learning Engineer Intern (Commerce Ads) - 2027 Summer
TikTok
- Location
- San Jose, California, United States of America
- Employment
- Internship
- Work model
- On-Site
- Level
- Intern
- H-1B history
- 148 approvals (FY2023)
Skills
About this role
The TikTok Commerce Ads team is dedicated to blending advertiser focus with technical expertise. Our mission is to enhance commerce ads—both open-loop and closed-loop—to establish TikTok as an essential growth engine for businesses of all sizes and a top destination for consumers to discover and buy products, content, and services. We are crucial to driving TikTok's ad revenue and are committed to developing the next-generation web ad solutions for the platform.
We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.
Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.
Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.
Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.
Responsibilities: - Build highly scalable machine learning systems and state-of-the-art machine learning models to improve ads ranking quality and optimize advertisers' marketing strategies. Examples include but are not limited to click through rate prediction, conversion rate prediction, intelligent format selection and user journey optimization. - Explore, develop and experiment with new features to improve model accuracy. - Understand ads platform objectives and take full advantage of modern machine learning to improve ads relevance, quality, and quantity delivered to end-users. - Collaborate with Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.